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Assessment and Prediction of Fish Freshness Using Mathematical Modelling: A Review.

Míriam R García1, Jose Antonio Ferez-Rubio1,2, Carlos Vilas1

  • 1Research Group on Biosystems and Bioprocess Engineering (Bio2eng), IIM-CSIC, 36208 Vigo, Spain.

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|August 12, 2022
PubMed
Summary
This summary is machine-generated.

This review explores mathematical models for predicting fish freshness, a key quality attribute. Understanding these models helps ensure consumer satisfaction and product value by tracking quality changes during storage.

Keywords:
bibliometric analysisfish freshnessfish qualitymathematical modellingpredictive microbiologyquality degradationstress variables

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Area of Science:

  • Food Science
  • Mathematical Modeling
  • Quality Control

Background:

  • Fish freshness encompasses nutritional and organoleptic qualities that degrade post-capture.
  • Factors like temperature, water activity, and pH accelerate this degradation.
  • Consumer willingness to pay is directly linked to fish freshness.

Purpose of the Study:

  • To review mathematical models for describing and predicting quality changes in fresh fish and shellfish during storage.
  • To outline key quality indicators and discuss stress factors affecting fresh fish.
  • To present a bibliometric analysis of relevant literature.

Main Methods:

  • Systematic literature search on mathematical models for fish freshness.
  • Review of existing studies on quality indicators and degradation factors.
  • Bibliometric analysis of search results.

Main Results:

  • Identification of various mathematical models used to predict fish quality.
  • Summary of critical quality indicators and influencing stress factors.
  • Bibliometric data illustrating research trends in fish freshness modeling.

Conclusions:

  • Mathematical models are crucial tools for assessing and predicting fish freshness.
  • Effective management of stress factors is essential for maintaining fish quality.
  • Further research and application of these models can enhance the seafood industry.